Abstract
Observations of atmospheric carbon dioxide (CO2) are expected to play a critical role in monitoring, reporting, and verification designed to track progress toward the reduction goals of greenhouse gas emissions. In this study, we construct a comprehensive regional carbon budget for seven National Climate Assessment regions of the contiguous United States (CONUS) over 2015–2020. We demonstrate that lateral carbon movement across regions, along with their resulting endpoint CO2 emissions, represent a major contributor to the interpretation of regional net surface-atmosphere fluxes of CO2. When accounting for lateral carbon fluxes, “top-down” flux estimates from v10 Orbiting Carbon Observatory 2 (OCO-2) Modeling Intercomparison Project (MIP) agree, within uncertainty, with inventory-based carbon stock change estimates in six out of seven National Climate Assessment regions - except for the Southwest. The total net carbon exchange from the top down is 925 ± 339 Tg carbon per year (Tg C/year), consistent with the 974 Tg C/year estimate from the inventory. Notably, lateral carbon flows in the form of harvested wood products and riverine carbon burial are responsible for an estimated 16% of the total carbon stock changes occurring across CONUS. Averaged over the seven regions, accounting for lateral transport and their endpoint carbon emissions improves the consistency between inventory and top-down estimates by 31%. Our study presents a roadmap for reconciling the inventories and top-down atmospheric inversions at sub-national scale and highlights the importance of accurate representation of lateral carbon flows for using top-down estimates with national inventories.
| Original language | English |
|---|---|
| Article number | e2025GB009020 |
| Journal | Global Biogeochemical Cycles |
| Volume | 40 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Mar 2026 |
| Externally published | Yes |
Funding
The research carried out at the Jet Propulsion Laboratory, California Institute of Technology, was under a contract with the National Aeronautics and Space Administration (80NM0018D0004). Resources supporting this work were provided by the NASA High-End Computing program through the NASA Advanced Supercomputing Division at Ames Research Center. B.B., J.L., B.P., and K.B. acknowledge the support from NASA Orbiting Carbon Observatory Science Team Program and the Carbon Monitoring System Program (Grants NNH20ZDA001N-CMS and 80NM0018F0583). K.D., S.O., and G.F. acknowledge support from the NASA Carbon Monitoring System program (Grant 80NSSC21K1060). D.H. also acknowledges support from the NASA Carbon Monitoring System program (Grant 80NSSC21K0966). H.N. acknowledges support from an appointment to the NASA Postdoctoral Program at the Jet Propulsion Laboratory, California Institute of Technology, administered by Oak Ridge Associated Universities under contract with NASA. Y.M. B.-O. acknowledges support from the Schmidt Science Fellows program and the Resnick Sustainability Institute. G.D. acknowledges support from the US Department of Agriculture (USDA) Forest Service, Northern Research Station. The findings and conclusions in this publication are those of the author(s) and should not be construed to represent any official USDA or US Government determination or policy.
All Science Journal Classification (ASJC) codes
- Global and Planetary Change
- Environmental Chemistry
- General Environmental Science
- Atmospheric Science
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